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Sub-pixel land cover mapping for per-field classification

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Sub-pixel land cover mapping for per-field classification. / Aplin, Paul S.; Atkinson, Peter M.
In: International Journal of Remote Sensing, Vol. 22, No. 14, 2001, p. 2853-2858.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Aplin, PS & Atkinson, PM 2001, 'Sub-pixel land cover mapping for per-field classification', International Journal of Remote Sensing, vol. 22, no. 14, pp. 2853-2858. https://doi.org/10.1080/01431160110053176

APA

Aplin, P. S., & Atkinson, P. M. (2001). Sub-pixel land cover mapping for per-field classification. International Journal of Remote Sensing, 22(14), 2853-2858. https://doi.org/10.1080/01431160110053176

Vancouver

Aplin PS, Atkinson PM. Sub-pixel land cover mapping for per-field classification. International Journal of Remote Sensing. 2001;22(14):2853-2858. doi: 10.1080/01431160110053176

Author

Aplin, Paul S. ; Atkinson, Peter M. / Sub-pixel land cover mapping for per-field classification. In: International Journal of Remote Sensing. 2001 ; Vol. 22, No. 14. pp. 2853-2858.

Bibtex

@article{96e88492a2df46dcb9de4f7aacea4308,
title = "Sub-pixel land cover mapping for per-field classification",
abstract = "A method was developed to transform a soft land cover classification into hard land cover classes at the sub-pixel scale for subsequent per-field classification. First, image pixels were segmented using vector boundaries. Second, the pixel segments (ranked by area) were labelled with a land cover class (ranked by class typicality). Third, a hard per-field classification was generated by examining each polygon (representing a land cover parcel, or field) in its entirety (by grouping the fragments of the polygon contained within different image pixels) and assigning to it the modal land cover class. The accuracy of this technique was considerably higher than that of both a corresponding hard per-pixel classification and a perfield classification based on hard per-pixel classified imagery.",
author = "Aplin, {Paul S.} and Atkinson, {Peter M.}",
note = "M1 - 14",
year = "2001",
doi = "10.1080/01431160110053176",
language = "English",
volume = "22",
pages = "2853--2858",
journal = "International Journal of Remote Sensing",
issn = "0143-1161",
publisher = "TAYLOR & FRANCIS LTD",
number = "14",

}

RIS

TY - JOUR

T1 - Sub-pixel land cover mapping for per-field classification

AU - Aplin, Paul S.

AU - Atkinson, Peter M.

N1 - M1 - 14

PY - 2001

Y1 - 2001

N2 - A method was developed to transform a soft land cover classification into hard land cover classes at the sub-pixel scale for subsequent per-field classification. First, image pixels were segmented using vector boundaries. Second, the pixel segments (ranked by area) were labelled with a land cover class (ranked by class typicality). Third, a hard per-field classification was generated by examining each polygon (representing a land cover parcel, or field) in its entirety (by grouping the fragments of the polygon contained within different image pixels) and assigning to it the modal land cover class. The accuracy of this technique was considerably higher than that of both a corresponding hard per-pixel classification and a perfield classification based on hard per-pixel classified imagery.

AB - A method was developed to transform a soft land cover classification into hard land cover classes at the sub-pixel scale for subsequent per-field classification. First, image pixels were segmented using vector boundaries. Second, the pixel segments (ranked by area) were labelled with a land cover class (ranked by class typicality). Third, a hard per-field classification was generated by examining each polygon (representing a land cover parcel, or field) in its entirety (by grouping the fragments of the polygon contained within different image pixels) and assigning to it the modal land cover class. The accuracy of this technique was considerably higher than that of both a corresponding hard per-pixel classification and a perfield classification based on hard per-pixel classified imagery.

U2 - 10.1080/01431160110053176

DO - 10.1080/01431160110053176

M3 - Journal article

VL - 22

SP - 2853

EP - 2858

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

IS - 14

ER -